About Course
The TRECCERT ISO/IEC 42001 Lead Implementer training course equips professionals with the advanced skills required to implement and manage Artificial Intelligence Management Systems (AIMS) in accordance with ISO/IEC 42001 standards. This course focuses on the practical application of the Plan-Do-Check-Act (PDCA) model to ensure responsible and ethical AI governance.
Participants will gain comprehensive knowledge of the AIMS lifecycle, covering the establishment, implementation, monitoring, and improvement phases, while aligning AI systems with organizational goals and regulatory requirements.
What Makes This Course Unique?
- Comprehensive insights into ISO/IEC 42001 requirements and best practices for AI governance.
- Practical application of AIMS implementation using the PDCA framework.
- Emphasis on fostering ethical and compliant AI systems.
This course is ideal for professionals leading AI governance initiatives, including compliance officers, IT managers, and AI risk managers.
Audience
The ISO/IEC 42001 Lead Implementer training course is developed for professionals who are involved in AI management, including:
- AI Project Managers, AI Consultants
- Executives and Managers
- AIMS Implementation Team Members
- Compliance Officers, Risk Managers, and AI Governance Analysts and Managers
- IT Managers and Consultants
Course Details
- Expert
- 40 Hours Duration
- Language: English
- Delivery: Classroom and Online
- CPE: 40 Credits
Included Materials
- 500 Training Slides
- Quiz Questions
- Exercises
What Will You Learn?
- Know and understand artificial intelligence management fundamental concepts, standards, best practices and laws/regulations.
- Know and understand ISO/IEC 42001 requirements, and describe their function and operation.
- Know, understand and be able to define a framework for implementing an AI Management System (AIMS) within an organization.
- Know, understand and be able to interpret ISO/IEC 42001 controls and implement the AIMS based on the defined framework.
- Know, understand and be able to support the implementation team to continually improve the implemented management system.
Course Content
- Introduction to AI
- AI Management System Overview
- AI Governance Frameworks and Regulations
- Context of the Organization
- Leadership
- Planning
- Support
- Operation
- Performance Evaluation
- Improvement
- Policies Related to AI
- Internal Organization
- Resources for AI systems
- Assessing Impacts of AI Systems
- AI System Life Cycle
- Data for AI Systems
- Information for Interested Parties of AI Systems
- Use of AI Systems
- Third Party Relationships
- Develop the Project Charter
- Ensure Management Commitment
- Identify the Interested Parties
- Conduct a Gap Analysis
- Prepare the PDCA Cycle
- Establish the Context of Organization
- Define the AIMS Scope
- Establish the Objectives, Processes, and Procedures
- Establish the AIMS Policy
- Define the Risk Assessment Approach
- Create the AIMS Implementation Plan
- Management Authorization to Implement and Operate the AIMS
- AI Risk Management
- Implement the AI
- Management Policies and Procedures
- Manage AIMS Operations
- Awareness and Training
- Resource Management and Documented Information
- Monitor the AIMS
- Conduct Internal Audits
- Review the AIMS
- Implement the Identified Improvements
- Corrective and Preventive Actions
- Communicate the Actions and Improvements
- Ensure Continual Improvement of the AIMS
Course Details
- Expert
- 40 Hours Duration
- Language: English
- Delivery: Classroom and Online
- CPE: 40 Credits
Included Materials
- 500 Training Slides
- Quiz Questions
- Exercises